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The paper empirically investigates the dynamic relationships between economic and environmental performances in manufacturing industries on a comparative basis in India and China. The economic performance is generally measured by production and export. Manufacturing sector plays a crucial role in terms of GDP and export both in India and China due to existence of their emerging markets. The rapid export-led economic growth with remarkable contributions of manufacturing industries in India and China also raise the question of their environmental performances nowadays. In this context, environmental effect of manufacturing performances measured by the CO 2 emission is a serious concern for both countries. The study is conducted within a causality framework by using World Bank data on Indian and Chinese economy from 1970 to 2016. Several unit root tests are conducted for all time series variables before applying the Johansen co-integration test followed by vector auto regression models to find their causal relationships. Findings show a unidirectional causal linkage between manufacturing production and CO 2 emissions in both countries, the degree of the effect of manufacturing sector on CO 2 emissions is remarkably higher in China than in India. Manufacturing export is also found as a significant factor in high level of CO 2 emissions in China.

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Remittances in India have been growing rapidly since 1991. Most of the studies find that remittance has had a significant impact on real effective exchange rate (REER). It is imperative to evaluate the impact of a transfer such as remittance and aid on country's competitiveness. This article is an attempt to investigate the impact of workers' remittances and some selected macro-variables on REER of India using annual data from 1980-2015. The study conducted autoregressive distributive lag (ARDL) bound test co-integration approach to explore this longrun relationship. The ARDL bound test approach confirms significant long-run relationships among the selected variables at 1 per cent level of significance. In addition to this, the ARDL short-run error correction model implies that while REER may temporarily deviate from its long-run equilibrium, the deviations adjust towards the equilibrium level in the long run. JEL: F31, F35, F41

Purpose: Haemophilia is an X-lined recessive disorder of coagulation that can affect any section of the society. Haemophilia is incurable and expensive lifelong disease; hence, the patient always brings in a financial crisis to manage its medication. In developing country like India the per capita health expenditure is 58 USD/year in 2012. The AHF therapy has been negligibly used in critical conditions of the disease. This study was undertaken to identify the social and economic dimensions that can influence the attitude of the medical practitioners for the choice of treatment therapy for a patient with haemophilia (PwH) in India. Design/methodology/approach: A cross-sectional study was conducted by collecting the primary data from the randomly selected 50 medical practitioners who were having at least one PwH on weekly basis. The EFA method was applied to determine the major socioeconomic dimensions of the choice of therapy. Findings: Four major dimensions were explored in the study that have significant impact on the attitude of medical practitioners. The availability of the AHF therapy is the most important dimension for consideration of a therapy for PwH in India. Moreover, the patient safety profile, patient affordability profile, and the experience of medical practitioners are three more dimensions that established the positive impact on attitude. Research limitations/implications: The methodology has socioeconomic tools for analysis and applied instrument has only 15 items for factor analysis. Practical implications: Governing bodies to rectify the policies on rare diseases because of inadequate supply of medicines. Academics would also benefit greatly since it will add value to existing body of literature on haemophilia in Indian context.